updated movie display

app.py

@@ -1,20 +1,24 @@
 import gradio as gr
 import requests
 import csv
+import pandas as pd
 
-# Load movie IDs from CSV file
-movie_ids = []
-csv_path = "MovieRecommender/imdb_movie_codes.csv"
-
+#load csv
 try:
-    with open(csv_path, "r") as csv_file:
-        reader = csv.reader(csv_file)
-        movie_ids = [row[0] for row in reader if row]  # Assuming movie IDs are in the first column
+    df = pd.read_csv('/Users/moizpro/Desktop/MoviesRecommender/MovieRecommender/imdb_movie_codes.csv')
+    print("df loaded..")
 except FileNotFoundError:
-    print(f"Error: CSV file not found at {csv_path}")
-
-# Initialize current movie index
-current_movie_index = {"index": 0}
+    print(f"Error: CSV file not found at path")
+#access frist movieID
+try:
+    # Initialize current movie index
+    current_movie_index = 0
+    # Assign the first element
+    movie_id = df.iloc[current_movie_index, 0]
+    # Print the value
+    print(movie_id)
+except:
+    print("error fetching first element")    
 
 # Function to fetch movie details using the given movie ID
 def fetch_movie_info(movie_id):
@@ -39,13 +43,12 @@ def fetch_movie_info(movie_id):
         return f"Failed to fetch movie details. HTTP Status Code: {response.status_code}"
 
 # Function to update movie details for the next movie
-def update_movie_details():
-    if not movie_ids:
-        return "No Movies", "No Movies", "No Movies", "No Movies", "No Movies", "No Movies"
-    
-    current_index = current_movie_index["index"]
-    movie_id = movie_ids[current_index]
-    current_movie_index["index"] = (current_index + 1) % len(movie_ids)  # Loop back to start
+def update_movie_details():    
+    global current_movie_index 
+    print(current_movie_index)
+    movie_id = df.iloc[current_movie_index, 0]
+    print(movie_id)
+    current_movie_index = (current_movie_index + 1) % len(df)  # Loop back to start
     return fetch_movie_info(movie_id)
 
 # Gradio interface